Filters: Tags: Wildlife (X) > Types: Downloadable (X)
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This theme is polygon data that depicts two types of development for the state of Wyoming. The first is existing development and the second are habitats where there is a high likelihood that development will occur in the near future. We considered development of oil, gas and coal bed methane, mining of minerals (trona, uranimum, coal, and bentonite), urban expansion. Other infrastructure activities such as roads, highways, fiberoptic lines, processing plants, pipelines, other facilities, and various combinations of development that were believed to impact sage-grouse were recorded. Information sources and assessment processes varied depending on data available and resource specialist participation for areas within...
Categories: Data;
Types: Downloadable;
Tags: BLM,
Federal Government,
Wyoming,
biota,
developed habitat,
This dataset is a raster of current predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average). 0=Absence; 1=Presence*see Maxent output pdf for details on model parameters.
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
This data set contains distribution information for all terrestrial and aquatic reptiles, crocodilians, and turtles occurring in the United States and Canada.
This dataset is a raster of current predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average). 0=Absence; 1=Presence*see Maxent output pdf for details on model parameters.
This dataset is a raster of current predicted suitable bioclimate using statistical correlations between known habitat and current climate (1950-1999 average). 0=Absence; 1=Presence*see Maxent output pdf for details on model parameters.
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
Scorecard analysis for terrestrial conservation elements and landscape condition. The landscape condition score represents area weighted mean value based upon the combined count and condition score. sum(count*score) / sum(count) *where count equals the cell count and score is the condition value. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at...
This dataset is a raster summarizing the change in suitable bioclimate by looking at the difference between current and A2 2050s. Value coding:-3 = Lost bioclimate; 0 = absence (current and future); 1= maintained bioclimate; 4 = gained bioclimate
This dataset represents the probability of occurrence for the gypsum soils species assemblage within the Central Great Basin and Mohave Basin Ecoregion. This model represents the composite of multiple cross-validated inductive (Maximum Entropy) models of species distributions using non-spectral landscape variables. Input Variables: Elevation, distance to gypsum soils, soil pH, geology, NatureServe's ecological systems map, available water holding capacity, aspect, and slope. Classification Model: 1 - High Potential Habitat NoData - Very Low Habitat Potential or "Non-Habitat"
This data set contains distribution information for all birds occurring in the Western Hemisphere. The goal of this project is to make this distributional information freely available to the public to inform conservation and other landuse decisions. A Memorandum of Understanding signed by NatureServe (then known as the Association for Biodiversity Information), The Nature Conservancy/Migratory Bird Program, Conservation International/CABS, World Wildlife Fund-US, and in 2000, with the subsequent addition of Environment Canada, governed the initial development and guidelines for sharing of these data. The MOU expired in 2003, but NatureServe, the compiler of the data set, continues to maintain the data largely in...
Scorecard analysis for terrestrial conservation elements and near future landscape condition. The landscape condition score represents area weighted mean value based upon the combined count and condition score. sum(count*score) / sum(count) *where count equals the cell count and score is the condition value. NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological...
This layer represents the scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for SNK 2010 landscape condtion (LCM). NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales.
This layer represents the scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for SNK 2010 landscape condtion (LCM). NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales.
This data set contains vector lines and polygons representing the shoreline and coastal habitats of Western Alaska classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for Western Alaska. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
Coastal Zone Management,
Coastal resources,
DOI,
Some of the SNK rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - This dataset is a raster of predicted suitable bioclimate using statistical correlations between known habitat and baseline climate conditions, and then projecting these correlations into the future. The future timeslices used are 2020's, which is an average of 2020-2029, and 2050's which is 2050-2059. The Values 1-5 show...
This layer represents the scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for SNK 2010 landscape condtion (LCM). NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales.
This layer represents the scorecard of one indicator of ecosytem integrity. This ecosystem assessment is for SNK 2010 landscape condtion (LCM). NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales.
This dataset depicts polygons of white-tailed prairie dog colonies in Colorado digitized from figure 1 in the White-tailed Prairie Dog Conservation Assessment (Seglund et al. 2004). This dataset should be used with caution because there were few reference points to use during georeferencing. The original GIS data should be obtained directly from Seglund et al. if possible.
This shapefile provides general range information for all landscape species for which distributions were mapped based upon models previously developed by the U.S. Geological Survey’s Southwest Regional Gap Analysis Project (SWReGAP). It was created to support the mapping of detailed distributions for these species. The range data provided here represents an amalgamation of range data from SWReGap, the California Wildlife Habitat Relationships database (http://www.dfg.ca.gov/biogeodata/cwhr/cawildlife.aspx ), NatureServe species distribution shapefiles, and expert opinion. SWReGap defined range based on 8-digit hydrologic units. Where it was necessarily to extend these ranges into California, Idaho, and/or Oregon,...
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